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import express from 'express'; | |
import { fal } from '@fal-ai/client'; | |
// --- Multi-Key Configuration --- | |
// *** 使用 FAL_KEY 环境变量读取逗号分隔的密钥 *** | |
const rawFalKeys = process.env.FAL_KEY; // Expect comma-separated keys: key1,key2,key3 in FAL_KEY | |
const API_KEY = process.env.API_KEY; // Custom API Key for proxy auth remains the same | |
if (!rawFalKeys) { | |
// *** 更新错误信息以引用 FAL_KEY *** | |
console.error("Error: FAL_KEY environment variable is not set (should be comma-separated)."); | |
process.exit(1); | |
} | |
if (!API_KEY) { | |
console.error("Error: API_KEY environment variable is not set."); | |
process.exit(1); | |
} | |
// Parse and prepare the keys | |
let falKeys = rawFalKeys.split(',') | |
.map(key => key.trim()) | |
.filter(key => key.length > 0) | |
.map(key => ({ | |
key: key, | |
failed: false, // Track if the key is currently considered failed | |
failedTimestamp: 0 // Timestamp when the key was marked as failed | |
})); | |
if (falKeys.length === 0) { | |
// *** 更新错误信息以引用 FAL_KEY *** | |
console.error("Error: No valid keys found in FAL_KEY after processing the environment variable."); | |
process.exit(1); | |
} | |
let currentKeyIndex = 0; | |
const failedKeyCooldown = 60 * 1000; // Cooldown period in milliseconds (e.g., 60 seconds) before retrying a failed key | |
// *** 更新日志信息以引用 FAL_KEY *** | |
console.log(`Loaded ${falKeys.length} FAL API Key(s) from FAL_KEY environment variable.`); | |
console.log(`Failed key cooldown period: ${failedKeyCooldown / 1000} seconds.`); | |
// NOTE: We will configure fal client per request now, so initial global config is removed. | |
// --- Key Management Functions --- | |
/** | |
* Selects the next available FAL key using round-robin and skipping recently failed keys. | |
* @returns {object | null} Key info object { key, failed, failedTimestamp } or null if all keys are failed. | |
*/ | |
function getNextKey() { | |
const totalKeys = falKeys.length; | |
if (totalKeys === 0) return null; | |
let attempts = 0; | |
while (attempts < totalKeys) { | |
const keyIndex = currentKeyIndex % totalKeys; | |
const keyInfo = falKeys[keyIndex]; | |
// Increment index for the *next* call, ensuring round-robin | |
currentKeyIndex = (currentKeyIndex + 1) % totalKeys; | |
// Check if key is marked as failed and if cooldown has passed | |
if (keyInfo.failed) { | |
const now = Date.now(); | |
if (now - keyInfo.failedTimestamp < failedKeyCooldown) { | |
// console.log(`Key index ${keyIndex} is in cooldown. Skipping.`); | |
attempts++; | |
continue; // Skip this key, it's still in cooldown | |
} else { | |
console.log(`Cooldown finished for key index ${keyIndex}. Resetting failure status.`); | |
keyInfo.failed = false; // Cooldown expired, reset status | |
keyInfo.failedTimestamp = 0; | |
} | |
} | |
// console.log(`Selected key index: ${keyIndex}`); | |
return keyInfo; // Return the valid key info object | |
} | |
console.warn("All FAL keys are currently marked as failed and in cooldown."); | |
return null; // All keys are currently failed and within cooldown | |
} | |
/** | |
* Marks a specific key as failed. | |
* @param {object} keyInfo - The key info object to mark as failed. | |
*/ | |
function markKeyFailed(keyInfo) { | |
if (keyInfo && !keyInfo.failed) { // Only mark if not already marked | |
keyInfo.failed = true; | |
keyInfo.failedTimestamp = Date.now(); | |
const keyIndex = falKeys.findIndex(k => k.key === keyInfo.key); | |
console.warn(`Marking key index ${keyIndex} (ending ...${keyInfo.key.slice(-4)}) as failed.`); | |
} | |
} | |
/** | |
* Determines if an error likely indicates an API key issue (auth, quota, etc.). | |
* This needs refinement based on actual errors from fal.ai. | |
* @param {Error} error - The error object caught from the fal client. | |
* @returns {boolean} - True if the error suggests a key failure, false otherwise. | |
*/ | |
function isKeyRelatedError(error) { | |
const errorMessage = error?.message?.toLowerCase() || ''; | |
const errorStatus = error?.status; // Assuming the error object might have a status property | |
// Check for common indicators of key issues | |
if (errorStatus === 401 || errorStatus === 403 || // Unauthorized, Forbidden | |
errorMessage.includes('authentication failed') || | |
errorMessage.includes('invalid api key') || | |
errorMessage.includes('permission denied')) { | |
return true; | |
} | |
if (errorStatus === 429 || // Too Many Requests (Rate Limit / Quota) | |
errorMessage.includes('rate limit exceeded') || | |
errorMessage.includes('quota exceeded')) { | |
return true; | |
} | |
// Add more specific error messages or codes from fal.ai if known | |
// console.log("Error does not appear to be key-related:", error); // Debugging | |
return false; | |
} | |
// --- Express App Setup --- | |
const app = express(); | |
app.use(express.json({ limit: '50mb' })); | |
app.use(express.urlencoded({ extended: true, limit: '50mb' })); | |
const PORT = process.env.PORT || 3000; | |
// API Key 鉴权中间件 (Remains the same, checks custom API_KEY) | |
const apiKeyAuth = (req, res, next) => { | |
const authHeader = req.headers['authorization']; | |
if (!authHeader) { | |
console.warn('Unauthorized: No Authorization header provided'); | |
return res.status(401).json({ error: 'Unauthorized: No API Key provided' }); | |
} | |
const authParts = authHeader.split(' '); | |
if (authParts.length !== 2 || authParts[0].toLowerCase() !== 'bearer') { | |
console.warn('Unauthorized: Invalid Authorization header format'); | |
return res.status(401).json({ error: 'Unauthorized: Invalid Authorization header format' }); | |
} | |
const providedKey = authParts[1]; | |
if (providedKey !== API_KEY) { | |
console.warn('Unauthorized: Invalid API Key'); | |
return res.status(401).json({ error: 'Unauthorized: Invalid API Key' }); | |
} | |
next(); | |
}; | |
app.use(['/v1/models', '/v1/chat/completions'], apiKeyAuth); | |
// === 全局定义限制 === (Remains the same) | |
const PROMPT_LIMIT = 4800; | |
const SYSTEM_PROMPT_LIMIT = 4800; | |
// === 限制定义结束 === | |
// 定义 fal-ai/any-llm 支持的模型列表 (Remains the same) | |
const FAL_SUPPORTED_MODELS = [ | |
"anthropic/claude-3.7-sonnet", | |
"anthropic/claude-3.5-sonnet", | |
"anthropic/claude-3-5-haiku", | |
"anthropic/claude-3-haiku", | |
"google/gemini-pro-1.5", | |
"google/gemini-flash-1.5", | |
"google/gemini-flash-1.5-8b", | |
"google/gemini-2.0-flash-001", | |
"meta-llama/llama-3.2-1b-instruct", | |
"meta-llama/llama-3.2-3b-instruct", | |
"meta-llama/llama-3.1-8b-instruct", | |
"meta-llama/llama-3.1-70b-instruct", | |
"openai/gpt-4o-mini", | |
"openai/gpt-4o", | |
"deepseek/deepseek-r1", | |
"meta-llama/llama-4-maverick", | |
"meta-llama/llama-4-scout" | |
]; | |
// Helper function to get owner from model ID (Remains the same) | |
const getOwner = (modelId) => { | |
if (modelId && modelId.includes('/')) { | |
return modelId.split('/')[0]; | |
} | |
return 'fal-ai'; | |
}; | |
// GET /v1/models endpoint (Remains the same) | |
app.get('/v1/models', (req, res) => { | |
console.log("Received request for GET /v1/models"); | |
try { | |
const modelsData = FAL_SUPPORTED_MODELS.map(modelId => ({ | |
id: modelId, object: "model", created: 1700000000, owned_by: getOwner(modelId) | |
})); | |
res.json({ object: "list", data: modelsData }); | |
console.log("Successfully returned model list."); | |
} catch (error) { | |
console.error("Error processing GET /v1/models:", error); | |
res.status(500).json({ error: "Failed to retrieve model list." }); | |
} | |
}); | |
// === convertMessagesToFalPrompt 函数 (Remains the same) === | |
function convertMessagesToFalPrompt(messages) { | |
let fixed_system_prompt_content = ""; | |
const conversation_message_blocks = []; | |
// console.log(`Original messages count: ${messages.length}`); // Less verbose logging | |
// 1. 分离 System 消息,格式化 User/Assistant 消息 | |
for (const message of messages) { | |
let content = (message.content === null || message.content === undefined) ? "" : String(message.content); | |
switch (message.role) { | |
case 'system': | |
fixed_system_prompt_content += `System: ${content}\n\n`; | |
break; | |
case 'user': | |
conversation_message_blocks.push(`Human: ${content}\n\n`); | |
break; | |
case 'assistant': | |
conversation_message_blocks.push(`Assistant: ${content}\n\n`); | |
break; | |
default: | |
console.warn(`Unsupported role: ${message.role}`); | |
continue; | |
} | |
} | |
// 2. 截断合并后的 system 消息(如果超长) | |
if (fixed_system_prompt_content.length > SYSTEM_PROMPT_LIMIT) { | |
const originalLength = fixed_system_prompt_content.length; | |
fixed_system_prompt_content = fixed_system_prompt_content.substring(0, SYSTEM_PROMPT_LIMIT); | |
console.warn(`Combined system messages truncated from ${originalLength} to ${SYSTEM_PROMPT_LIMIT}`); | |
} | |
fixed_system_prompt_content = fixed_system_prompt_content.trim(); | |
// 3. 计算 system_prompt 中留给对话历史的剩余空间 | |
let space_occupied_by_fixed_system = 0; | |
if (fixed_system_prompt_content.length > 0) { | |
space_occupied_by_fixed_system = fixed_system_prompt_content.length + 4; // 预留 \n\n...\n\n 的长度 | |
} | |
const remaining_system_limit = Math.max(0, SYSTEM_PROMPT_LIMIT - space_occupied_by_fixed_system); | |
// console.log(`Trimmed fixed system prompt length: ${fixed_system_prompt_content.length}. Approx remaining system history limit: ${remaining_system_limit}`); | |
// 4. 反向填充 User/Assistant 对话历史 | |
const prompt_history_blocks = []; | |
const system_prompt_history_blocks = []; | |
let current_prompt_length = 0; | |
let current_system_history_length = 0; | |
let promptFull = false; | |
let systemHistoryFull = (remaining_system_limit <= 0); | |
// console.log(`Processing ${conversation_message_blocks.length} user/assistant messages for recency filling.`); | |
for (let i = conversation_message_blocks.length - 1; i >= 0; i--) { | |
const message_block = conversation_message_blocks[i]; | |
const block_length = message_block.length; | |
if (promptFull && systemHistoryFull) { | |
// console.log(`Both prompt and system history slots full. Omitting older messages from index ${i}.`); | |
break; | |
} | |
// 优先尝试放入 prompt | |
if (!promptFull) { | |
if (current_prompt_length + block_length <= PROMPT_LIMIT) { | |
prompt_history_blocks.unshift(message_block); | |
current_prompt_length += block_length; | |
continue; | |
} else { | |
promptFull = true; | |
// console.log(`Prompt limit (${PROMPT_LIMIT}) reached. Trying system history slot.`); | |
} | |
} | |
// 如果 prompt 满了,尝试放入 system_prompt 的剩余空间 | |
if (!systemHistoryFull) { | |
if (current_system_history_length + block_length <= remaining_system_limit) { | |
system_prompt_history_blocks.unshift(message_block); | |
current_system_history_length += block_length; | |
continue; | |
} else { | |
systemHistoryFull = true; | |
// console.log(`System history limit (${remaining_system_limit}) reached.`); | |
} | |
} | |
} | |
// 5. *** 组合最终的 prompt 和 system_prompt (包含分隔符逻辑) *** | |
const system_prompt_history_content = system_prompt_history_blocks.join('').trim(); | |
const final_prompt = prompt_history_blocks.join('').trim(); | |
// 定义分隔符 | |
const SEPARATOR = "\n\n-------下面是比较早之前的对话内容-----\n\n"; | |
let final_system_prompt = ""; | |
const hasFixedSystem = fixed_system_prompt_content.length > 0; | |
const hasSystemHistory = system_prompt_history_content.length > 0; | |
if (hasFixedSystem && hasSystemHistory) { | |
final_system_prompt = fixed_system_prompt_content + SEPARATOR + system_prompt_history_content; | |
// console.log("Combining fixed system prompt and history with separator."); | |
} else if (hasFixedSystem) { | |
final_system_prompt = fixed_system_prompt_content; | |
// console.log("Using only fixed system prompt."); | |
} else if (hasSystemHistory) { | |
final_system_prompt = system_prompt_history_content; | |
// console.log("Using only history in system prompt slot."); | |
} | |
// 6. 返回结果 | |
const result = { | |
system_prompt: final_system_prompt, | |
prompt: final_prompt | |
}; | |
console.log(`Final system_prompt length: ${result.system_prompt.length}, Final prompt length: ${result.prompt.length}`); | |
return result; | |
} | |
// === convertMessagesToFalPrompt 函数结束 === | |
/** | |
* Wraps the fal.ai API call with retry logic using available keys. | |
* @param {'stream' | 'subscribe'} operation - The fal operation to perform. | |
* @param {string} functionId - The fal function ID (e.g., "fal-ai/any-llm"). | |
* @param {object} params - The parameters for the fal function call (input, logs, etc.). | |
* @returns {Promise<any>} - The result from the successful fal call (stream or subscription result). | |
* @throws {Error} - Throws an error if all keys fail or a non-key-related error occurs. | |
*/ | |
async function tryFalCallWithFailover(operation, functionId, params) { | |
const maxRetries = falKeys.length; // Try each key at most once per request cycle | |
let lastError = null; | |
for (let i = 0; i < maxRetries; i++) { | |
const keyInfo = getNextKey(); | |
if (!keyInfo) { | |
throw new Error(lastError ? `All FAL keys failed. Last error: ${lastError.message}` : "All FAL keys are currently unavailable (failed or in cooldown)."); | |
} | |
const currentFalKey = keyInfo.key; | |
console.log(`Attempt ${i + 1}/${maxRetries}: Using key ending in ...${currentFalKey.slice(-4)}`); | |
try { | |
// --- Configure fal client with the selected key for this attempt --- | |
// WARNING: This global config change might have concurrency issues in high-load scenarios | |
// if the fal client library doesn't isolate requests properly. | |
fal.config({ credentials: currentFalKey }); | |
if (operation === 'stream') { | |
const streamResult = await fal.stream(functionId, params); | |
console.log(`Successfully initiated stream with key ending in ...${currentFalKey.slice(-4)}`); | |
return streamResult; | |
} else { // 'subscribe' (non-stream) | |
const result = await fal.subscribe(functionId, params); | |
console.log(`Successfully completed subscribe request with key ending in ...${currentFalKey.slice(-4)}`); | |
if (result && result.error) { | |
console.warn(`Fal-ai returned an application error (non-stream) with key ...${currentFalKey.slice(-4)}: ${JSON.stringify(result.error)}`); | |
} | |
return result; | |
} | |
} catch (error) { | |
console.error(`Error using key ending in ...${currentFalKey.slice(-4)}:`, error.message || error); | |
lastError = error; | |
if (isKeyRelatedError(error)) { | |
markKeyFailed(keyInfo); | |
console.log(`Key marked as failed. Trying next key if available...`); | |
} else { | |
console.error("Non-key related error occurred. Aborting retries."); | |
throw error; | |
} | |
} | |
} | |
console.error("All FAL keys failed after attempting each one."); | |
throw new Error(lastError ? `All FAL keys failed. Last error: ${lastError.message}` : "All FAL API keys failed."); | |
} | |
// POST /v1/chat/completions endpoint (Modified to use tryFalCallWithFailover) | |
app.post('/v1/chat/completions', async (req, res) => { | |
const { model, messages, stream = false, reasoning = false, ...restOpenAIParams } = req.body; | |
console.log(`Received chat completion request for model: ${model}, stream: ${stream}`); | |
if (!FAL_SUPPORTED_MODELS.includes(model)) { | |
console.warn(`Warning: Requested model '${model}' is not in the explicitly supported list.`); | |
} | |
if (!model || !messages || !Array.isArray(messages) || messages.length === 0) { | |
console.error("Invalid request parameters:", { model, messages: Array.isArray(messages) ? messages.length : typeof messages }); | |
return res.status(400).json({ error: 'Missing or invalid parameters: model and messages array are required.' }); | |
} | |
try { | |
const { prompt, system_prompt } = convertMessagesToFalPrompt(messages); | |
const falInput = { | |
model: model, | |
prompt: prompt, | |
...(system_prompt && { system_prompt: system_prompt }), | |
reasoning: !!reasoning, | |
}; | |
console.log("Prepared Fal Input (lengths):", { system_prompt: system_prompt?.length, prompt: prompt?.length }); | |
if (stream) { | |
res.setHeader('Content-Type', 'text/event-stream; charset=utf-8'); | |
res.setHeader('Cache-Control', 'no-cache'); | |
res.setHeader('Connection', 'keep-alive'); | |
res.setHeader('Access-Control-Allow-Origin', '*'); | |
res.flushHeaders(); | |
let previousOutput = ''; | |
let falStream; | |
try { | |
falStream = await tryFalCallWithFailover('stream', "fal-ai/any-llm", { input: falInput }); | |
for await (const event of falStream) { | |
const currentOutput = (event && typeof event.output === 'string') ? event.output : ''; | |
const isPartial = (event && typeof event.partial === 'boolean') ? event.partial : true; | |
const errorInfo = (event && event.error) ? event.error : null; | |
if (errorInfo) { | |
console.error("Error received *during* fal stream:", errorInfo); | |
const errorChunk = { id: `chatcmpl-${Date.now()}-error`, object: "chat.completion.chunk", created: Math.floor(Date.now() / 1000), model: model, choices: [{ index: 0, delta: {}, finish_reason: "error", message: { role: 'assistant', content: `Fal Stream Error: ${JSON.stringify(errorInfo)}` } }] }; | |
res.write(`data: ${JSON.stringify(errorChunk)}\n\n`); | |
break; | |
} | |
let deltaContent = ''; | |
if (currentOutput.startsWith(previousOutput)) { | |
deltaContent = currentOutput.substring(previousOutput.length); | |
} else if (currentOutput.length > 0) { | |
console.warn("Fal stream output mismatch detected. Sending full current output as delta.", { previousLength: previousOutput.length, currentLength: currentOutput.length }); | |
deltaContent = currentOutput; | |
previousOutput = ''; | |
} | |
previousOutput = currentOutput; | |
if (deltaContent || !isPartial) { | |
const openAIChunk = { id: `chatcmpl-${Date.now()}`, object: "chat.completion.chunk", created: Math.floor(Date.now() / 1000), model: model, choices: [{ index: 0, delta: { content: deltaContent }, finish_reason: isPartial === false ? "stop" : null }] }; | |
res.write(`data: ${JSON.stringify(openAIChunk)}\n\n`); | |
} | |
} | |
res.write(`data: [DONE]\n\n`); | |
res.end(); | |
console.log("Stream finished successfully."); | |
} catch (streamError) { | |
console.error('Error during stream processing:', streamError); | |
if (!res.writableEnded) { | |
try { | |
const errorDetails = (streamError instanceof Error) ? streamError.message : JSON.stringify(streamError); | |
const finalErrorChunk = { error: { message: "Stream failed", type: "proxy_error", details: errorDetails } }; | |
res.write(`data: ${JSON.stringify(finalErrorChunk)}\n\n`); | |
res.write(`data: [DONE]\n\n`); | |
res.end(); | |
} catch (finalError) { | |
console.error('Error sending final stream error message to client:', finalError); | |
if (!res.writableEnded) { res.end(); } | |
} | |
} | |
} | |
} else { // Non-stream | |
console.log("Executing non-stream request with failover..."); | |
const result = await tryFalCallWithFailover('subscribe', "fal-ai/any-llm", { input: falInput, logs: true }); | |
console.log("Received non-stream result from fal-ai via failover wrapper."); | |
if (result && result.error) { | |
console.error("Fal-ai returned an application error in non-stream mode (after successful API call):", result.error); | |
return res.status(500).json({ | |
object: "error", | |
message: `Fal-ai application error: ${JSON.stringify(result.error)}`, | |
type: "fal_ai_error", | |
param: null, | |
code: result.error.code || null | |
}); | |
} | |
const openAIResponse = { | |
id: `chatcmpl-${result?.requestId || Date.now()}`, | |
object: "chat.completion", | |
created: Math.floor(Date.now() / 1000), | |
model: model, | |
choices: [{ | |
index: 0, | |
message: { | |
role: "assistant", | |
content: result?.output || "" | |
}, | |
finish_reason: "stop" | |
}], | |
usage: { | |
prompt_tokens: null, | |
completion_tokens: null, | |
total_tokens: null | |
}, | |
system_fingerprint: null, | |
...(result?.reasoning && { fal_reasoning: result.reasoning }), | |
}; | |
res.json(openAIResponse); | |
console.log("Returned non-stream response successfully."); | |
} | |
} catch (error) { | |
console.error('Unhandled error in /v1/chat/completions:', error); | |
if (!res.headersSent) { | |
const errorMessage = (error instanceof Error) ? error.message : JSON.stringify(error); | |
const errorType = error.message?.includes("All FAL keys failed") ? "api_key_error" : "proxy_internal_error"; | |
res.status(500).json({ | |
error: { | |
message: `Internal Server Error in Proxy: ${errorMessage}`, | |
type: errorType, | |
details: error.stack // Optional: include stack in dev/debug mode | |
} | |
}); | |
} else if (!res.writableEnded) { | |
console.error("Headers already sent, attempting to end response after error."); | |
res.end(); | |
} | |
} | |
}); | |
// --- Server Start --- | |
app.listen(PORT, () => { | |
console.log(`===========================================================`); | |
console.log(` Fal OpenAI Proxy Server (Multi-Key Failover)`); | |
console.log(` Listening on port: ${PORT}`); | |
// *** 更新日志信息以引用 FAL_KEY *** | |
console.log(` Loaded ${falKeys.length} FAL API Key(s) from FAL_KEY.`); | |
console.log(` API Key Auth Enabled: ${API_KEY ? 'Yes' : 'No'}`); | |
console.log(` Limits: System Prompt=${SYSTEM_PROMPT_LIMIT}, Prompt=${PROMPT_LIMIT}`); | |
console.log(` Chat Completions: POST http://localhost:${PORT}/v1/chat/completions`); | |
console.log(` Models Endpoint: GET http://localhost:${PORT}/v1/models`); | |
console.log(`===========================================================`); | |
}); | |
// Root path response | |
app.get('/', (req, res) => { | |
res.send('Fal OpenAI Proxy (Multi-Key Failover) is running.'); | |
}); |